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队列研究的批判性评价读者指南:2. 评估混杂因素的可能性。

Reader's guide to critical appraisal of cohort studies: 2. Assessing potential for confounding.

作者信息

Mamdani Muhammad, Sykora Kathy, Li Ping, Normand Sharon-Lise T, Streiner David L, Austin Peter C, Rochon Paula A, Anderson Geoffrey M

机构信息

Institute for Clinical Evaluative Sciences, Toronto, ON Canada.

出版信息

BMJ. 2005 Apr 23;330(7497):960-2. doi: 10.1136/bmj.330.7497.960.

DOI:10.1136/bmj.330.7497.960
PMID:15845982
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC556348/
Abstract

Although confounding is an important problem of cohort studies, its effects can be minimised to enable valid comparison

摘要

尽管混杂是队列研究的一个重要问题,但其影响可以降至最低,以便进行有效的比较。

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BMJ. 2005 Apr 30;330(7498):1021-3. doi: 10.1136/bmj.330.7498.1021.
2
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Association between SSRI use and hip fractures and the effect of residual confounding bias in claims database studies.选择性5-羟色胺再摄取抑制剂(SSRI)的使用与髋部骨折之间的关联以及索赔数据库研究中残余混杂偏倚的影响。
J Clin Psychopharmacol. 2004 Dec;24(6):632-8. doi: 10.1097/01.jcp.0000145344.76288.39.
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